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https://github.com/nlitsme/pycryptobenchmarking
benchmarking the python pyCrypto and cryptography moduls
https://github.com/nlitsme/pycryptobenchmarking
benchmark cryptography-library pycrypto python
Last synced: 17 days ago
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benchmarking the python pyCrypto and cryptography moduls
- Host: GitHub
- URL: https://github.com/nlitsme/pycryptobenchmarking
- Owner: nlitsme
- License: mit
- Created: 2016-11-26T16:03:43.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2023-11-09T18:04:03.000Z (about 1 year ago)
- Last Synced: 2023-11-10T12:03:53.318Z (about 1 year ago)
- Topics: benchmark, cryptography-library, pycrypto, python
- Language: Python
- Size: 6.84 KB
- Stars: 5
- Watchers: 2
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
results
=======
symmetric crypto
----------------
In iterations per second.
| pycrypt | cryptography | factor | algorithm
| ---------:| -------------:| --------:|:-----
| 756499.3 | 379890.2 | 0.50 | AES
| 424332.1 | 259299.5 | 0.61 | 3DES.64
| 229043.5 | 259282.9 | 1.13 | 3DES.128
| 226057.2 | 255484.5 | 1.13 | 3DES.192
| 487464.4 | 302878.6 | 0.62 | Blowfish
| 351429.9 | 317410.7 | 0.90 | CAST5
| 797340.5 | 361095.3 | 0.45 | RC4
Most symmetric ciphers are significantly faster in `pyCrypto`.
hash algorithms
---------------
message size = 64 kbyte, in Mbyte/sec
| pycrypt | cryptography | factor | algorithm
| ---------:| -------------:| --------:|:-----
| 57 | 343 | 5.98 | sha224
| 53 | 333 | 6.19 | sha256
| 83 | 487 | 5.85 | sha384
| 81 | 487 | 6.00 | sha512
| 910 | 781 | 0.86 | sha1
| 678 | 419 | 0.62 | md5
| 40 | 199 | 4.89 | ripemd160
message size = 32 bytes, in Mbyte/sec
| pycrypt | cryptography | factor | algorithm
| ---------:| -------------:| --------:|:-----
| 16.2 | 2.8 | 0.17 | sha224
| 15.7 | 2.9 | 0.18 | sha256
| 13.0 | 2.8 | 0.21 | sha384
| 12.4 | 2.8 | 0.22 | sha512
| 15.3 | 2.8 | 0.19 | sha1
| 16.2 | 2.8 | 0.18 | md5
| 14.6 | 1.5 | 0.10 | ripemd160
Both `pycrypto` and `cryptography` have some call overhead.
for `pycrypto` the byterate stabilizes for messages over 1K,
while for `cryptography this happens for messages over 16K.
That said, `cryptography` is generally faster for very large messages,
while `pycrypto` is fast for smaller messages.
For the SHAxxx algorithms, the cross over point is around 1k mesage size.
for SHA1 and MD5 `pycrypto` is always faster.
asymmetric crypto
-----------------
| pow() | pycrypt | cryptography | factor | algorithm
| ---------:| ---------:| -------------:| --------:|:-----
| 17267.1 | 12137.1 | 33917.4 | 2.8 | rsa.1024
| 4920.6 | 4217.5 | 18242.9 | 4.3 | rsa.2048
| 1440.8 | 1467.3 | 6448.8 | 4.4 | rsa.4096
So for `RSA` the `cryptography` library is generally faster.
The `pycrypt` performance is roughly equal to using the `pow()` function.
random numbers
--------------
in Mbyte/sec
| random | sysrand | pycrypti | r/s | s/p | msgsize |
| ------:| -------:| ---------:| -----:| ------:| --------:|
| 478.0 | 55.9 | 2.0 | 8.6 | 27.4 | 32 |
| 726.4 | 70.9 | 3.1 | 10.2 | 22.6 | 64 |
| 1148.9 | 81.0 | 3.8 | 14.2 | 21.1 | 128 |
| 1476.4 | 88.1 | 4.4 | 16.8 | 20.1 | 256 |
| 1757.5 | 93.4 | 3.9 | 18.8 | 24.2 | 512 |
| 2141.6 | 94.3 | 2.6 | 22.7 | 36.6 | 1024 |
| 2339.3 | 100.2 | 1.9 | 23.3 | 53.4 | 2048 |
| 2405.1 | 94.8 | 1.1 | 25.4 | 83.1 | 4096 |
| 2361.0 | 101.9 | 0.6 | 23.2 | 158.7 | 8192 |
| 2568.1 | 97.7 | 0.3 | 26.3 | 286.8 | 16384 |
The `cryptography` library does not have a builtin PRNG.
Conclusion: secure random numbers are expensive.